Skeleton Technologies, a global provider of AI infrastructure and grid power systems, has announced the first close of a new funding round, securing €33 million. This latest investment brings the company's total venture capital funding to €392 million as it advances toward a planned initial public offering (IPO) in the United States in 2027. The capital will be used to address the critical power constraints facing the rapidly expanding artificial intelligence industry.
Addressing the AI Power Challenge
The exponential growth of AI has created an unprecedented demand for energy, making power availability a primary bottleneck for data centers worldwide. Skeleton Technologies aims to solve this challenge with its high-power energy storage solutions designed to enhance efficiency and reliability. This new funding will enable the company to scale production and meet the accelerating demand from AI data center customers in Europe, Asia, and North America.
According to CEO and co-founder Taavi Madiberk, reliable and high-performance power solutions are now critical as AI infrastructure continues to scale. The company's technology promises to cut data center energy consumption by 40% while simultaneously increasing computing power by 40%. These advancements are crucial for enabling sustainable growth and faster connections to constrained power grids, directly tackling the industry's most significant limitation.
Strategic Investment and Global Expansion
The funding round introduces several new strategic investors, including Axon Partners Group, SmartCap, and Taiwania Capital, with more expected to be announced later. Madiberk noted that these partners bring valuable expertise, particularly Axon's experience in guiding companies through IPO preparations. This expanded investor base strengthens Skeleton's position as it prepares for its next chapter as a public company on the global stage.
In addition to its mass-scale supercapacitor manufacturing in Germany and a one-gigawatt SuperBattery factory in Finland, Skeleton is preparing for a significant production expansion into the United States. This strategic move is designed to better serve the American market, which is home to the world's largest AI hyperscalers. The expansion reflects the company's commitment to providing its innovative power solutions to key markets driving the AI revolution.
Building International Synergies
The investment from Taiwania Capital forges a deeper connection with Taiwan's robust AI data center supply chain. David Weng, CEO of Taiwania Capital, highlighted the synergy between Europe's deep-tech innovation and Taiwan's manufacturing prowess. This partnership aims to integrate Skeleton's breakthrough energy solutions into the global AI hardware ecosystem, building a resilient power backbone for the industry's future.
Francisco Velazquez, Founder and Managing Partner at Axon Partners Group, affirmed that scaling AI sustainably requires fundamentally new approaches to power infrastructure. He stated that Skeleton is uniquely positioned to deliver the solutions needed to support the continued growth of artificial intelligence. Axon's backing will support the company's global scaling efforts and its journey toward becoming a publicly traded entity.
A Technological Edge
Skeleton's competitive advantage is rooted in its patented Curved Graphene and supercapacitor technology, which supports mission-critical applications from AI to grid stability and space exploration. The company's solutions do not rely on lithium, cobalt, or other scarce raw materials, mitigating strategic dependency risks. This material independence provides a more sustainable and resilient supply chain for its energy storage systems.
This €33 million funding round marks a significant milestone for Skeleton Technologies, reinforcing its mission to power the future of AI. With strategic new partners and ambitious expansion plans, the company is well-positioned to address the global energy bottleneck hindering technological progress. As Skeleton moves toward its 2027 IPO, its innovative solutions will play a crucial role in shaping a more efficient and sustainable AI landscape.